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authored a paper 9 days ago

Scaling Laws for Uncertainty in Deep Learning

Paper • 2506.09648 • Published Feb 9

authored 2 papers 14 days ago

From predictions to confidence intervals: an empirical study of conformal prediction methods for in-context learning

Paper • 2504.15722 • Published Apr 22, 2025

A Bayesian Perspective on the Role of Epistemic Uncertainty for Delayed Generalization in In-Context Learning

Paper • 2604.12434 • Published 17 days ago

authored 2 papers about 1 month ago

The Initialization Determines Whether In-Context Learning Is Gradient Descent

Paper • 2512.04268 • Published Dec 3, 2025

Class Balanced Dynamic Acquisition for Domain Adaptive Semantic Segmentation using Active Learning

Paper • 2311.14146 • Published Nov 23, 2023

authored 4 papers 5 months ago

Continuous-Time Functional Diffusion Processes

Paper • 2303.00800 • Published Mar 1, 2023 • 3

Model Selection for Bayesian Autoencoders

Paper • 2106.06245 • Published Jun 11, 2021

How Much is Enough? A Study on Diffusion Times in Score-based Generative Models

Paper • 2206.05173 • Published Jun 10, 2022

Optimizing Diffusion Models for Joint Trajectory Prediction and Controllable Generation

Paper • 2408.00766 • Published Aug 1, 2024